Details
| Original language | English |
|---|---|
| Pages (from-to) | 478-491 |
| Number of pages | 14 |
| Journal | Energy Procedia |
| Volume | 155 |
| Early online date | 27 Nov 2018 |
| Publication status | Published - Nov 2018 |
| Event | 12th International Renewable Energy Storage Conference, IRES 2018 - Dusseldorf, Germany Duration: 13 Mar 2018 → 15 Mar 2018 |
Abstract
This study investigates the potential to use the EES storages of a fleet of privately owned Electrical Vehicles (EV) as time dependent storage source connected to the electrical grid. The example of the national German electricity grid is examined. Calculations are done as time series on a complete yearly set of quarter-hour data for generation and consumption, as obtained from the national regulatory authority ("Bundesnetzagentur"). Future scenarios foresee targets that have been publicly stated by the German government, e.g. the projected discontinuation of electricity generation by nuclear power, the envisaged shares of renewables within the electricity mix per 2030 or 2050, and a projected evolution of the number of EV. Besides, the technical evolution like introduction of new types of EES like the Li-Air-storage promising higher storage capacity in the future is expected. The model assumes that private users of EV will provide the storage capacity within their EV to the public grid following a certain time pattern. A minimum reserve for the user is always granted and moreover it is assumed that the electrical system operator will make compensation payments to the user of the EV. In a scenario beyond 2030 where 6 Mio EV are projected, the number of EV is assumed to be 20 Mio EV in 2050. This results in a considerably large distributed storage to help dealing with a future more and more volatile electricity provision by more and more renewable energy sources, especially wind and PV. According to our preliminary results, an optimum for this model can be obtained at moderate power levels for charge and discharge, avoiding the necessity for a comparable high invest of "fast charging" stations.
Keywords
- Electricity generation mix, Electrochemical storage (EES), Vehicle2Grid (V2G)
ASJC Scopus subject areas
- Energy(all)
- General Energy
Sustainable Development Goals
Cite this
- Standard
- Harvard
- Apa
- Vancouver
- BibTeX
- RIS
In: Energy Procedia, Vol. 155, 11.2018, p. 478-491.
Research output: Contribution to journal › Conference article › Research › peer review
}
TY - JOUR
T1 - Application of Rechargeable Batteries of Electrical Vehicles as Time Dependent Storage Resource for the Public Electricity Grid
AU - Arafat, Zivar
AU - Fehling, Tristan
AU - Kleiss, Gerhard
AU - Nacke, Bernard
PY - 2018/11
Y1 - 2018/11
N2 - This study investigates the potential to use the EES storages of a fleet of privately owned Electrical Vehicles (EV) as time dependent storage source connected to the electrical grid. The example of the national German electricity grid is examined. Calculations are done as time series on a complete yearly set of quarter-hour data for generation and consumption, as obtained from the national regulatory authority ("Bundesnetzagentur"). Future scenarios foresee targets that have been publicly stated by the German government, e.g. the projected discontinuation of electricity generation by nuclear power, the envisaged shares of renewables within the electricity mix per 2030 or 2050, and a projected evolution of the number of EV. Besides, the technical evolution like introduction of new types of EES like the Li-Air-storage promising higher storage capacity in the future is expected. The model assumes that private users of EV will provide the storage capacity within their EV to the public grid following a certain time pattern. A minimum reserve for the user is always granted and moreover it is assumed that the electrical system operator will make compensation payments to the user of the EV. In a scenario beyond 2030 where 6 Mio EV are projected, the number of EV is assumed to be 20 Mio EV in 2050. This results in a considerably large distributed storage to help dealing with a future more and more volatile electricity provision by more and more renewable energy sources, especially wind and PV. According to our preliminary results, an optimum for this model can be obtained at moderate power levels for charge and discharge, avoiding the necessity for a comparable high invest of "fast charging" stations.
AB - This study investigates the potential to use the EES storages of a fleet of privately owned Electrical Vehicles (EV) as time dependent storage source connected to the electrical grid. The example of the national German electricity grid is examined. Calculations are done as time series on a complete yearly set of quarter-hour data for generation and consumption, as obtained from the national regulatory authority ("Bundesnetzagentur"). Future scenarios foresee targets that have been publicly stated by the German government, e.g. the projected discontinuation of electricity generation by nuclear power, the envisaged shares of renewables within the electricity mix per 2030 or 2050, and a projected evolution of the number of EV. Besides, the technical evolution like introduction of new types of EES like the Li-Air-storage promising higher storage capacity in the future is expected. The model assumes that private users of EV will provide the storage capacity within their EV to the public grid following a certain time pattern. A minimum reserve for the user is always granted and moreover it is assumed that the electrical system operator will make compensation payments to the user of the EV. In a scenario beyond 2030 where 6 Mio EV are projected, the number of EV is assumed to be 20 Mio EV in 2050. This results in a considerably large distributed storage to help dealing with a future more and more volatile electricity provision by more and more renewable energy sources, especially wind and PV. According to our preliminary results, an optimum for this model can be obtained at moderate power levels for charge and discharge, avoiding the necessity for a comparable high invest of "fast charging" stations.
KW - Electricity generation mix
KW - Electrochemical storage (EES)
KW - Vehicle2Grid (V2G)
UR - http://www.scopus.com/inward/record.url?scp=85058247057&partnerID=8YFLogxK
U2 - 10.1016/j.egypro.2018.11.032
DO - 10.1016/j.egypro.2018.11.032
M3 - Conference article
AN - SCOPUS:85058247057
VL - 155
SP - 478
EP - 491
JO - Energy Procedia
JF - Energy Procedia
SN - 1876-6102
T2 - 12th International Renewable Energy Storage Conference, IRES 2018
Y2 - 13 March 2018 through 15 March 2018
ER -